feat: implement knowledge testing system with leaderboard, quiz generation, and PocketBase integration

src/lib/learningService.js

@@ -1,5 +1,5 @@
 import { anthropicApi } from './api';
-import { storage } from './storage';
+import * as db from './db';
 
 const CONTENT_GENERATION_SYSTEM = `You are an expert learning content writer for Respellion, an internal IT company.
 You write training material for employees based on knowledge topics.
@@ -33,12 +33,8 @@ const CONTENT_SCHEMA = `{
   }
 }`;
 
-/**
- * Get the assigned topic for a user for a given week using round-robin.
- * hash(userId + weekNumber) % topicCount
- */
-export function getAssignedTopic(userId, weekNumber) {
-  const topics = storage.get('kb:topics', []);
+export async function getAssignedTopic(userId, weekNumber) {
+  const topics = await db.getTopics();
   if (!topics || topics.length === 0) return null;
 
   const str = `${userId}:${weekNumber}`;
@@ -51,43 +47,24 @@ export function getAssignedTopic(userId, weekNumber) {
   return topics[index];
 }
 
-/**
- * Returns the cache key for a topic's content.
- */
-export function getContentCacheKey(topicId) {
-  return `kb:content:${topicId}`;
+export async function getCachedContent(topicId) {
+  return db.getContent(topicId);
 }
 
-/**
- * Returns cached content for a topic, or null if none exists.
- */
-export function getCachedContent(topicId) {
-  return storage.get(getContentCacheKey(topicId), null);
+export async function getAllGeneratedContent() {
+  const topics = await db.getTopics();
+  const results = await Promise.all(
+    topics.map(async topic => {
+      const content = await db.getContent(topic.id);
+      return { topic, content, hasContent: !!content };
+    })
+  );
+  return results.filter(item => item.hasContent);
 }
 
-/**
- * List all topics that have generated content.
- */
-export function getAllGeneratedContent() {
-  const topics = storage.get('kb:topics', []);
-  return topics
-    .map(topic => ({
-      topic,
-      content: getCachedContent(topic.id),
-      hasContent: !!getCachedContent(topic.id),
-    }))
-    .filter(item => item.hasContent);
-}
-
-/**
- * Generate a complete learning module for a topic.
- * Uses cached version if available (unless force = true).
- */
 export async function generateLearningContent(topic, force = false) {
-  const cacheKey = getContentCacheKey(topic.id);
-
   if (!force) {
-    const cached = storage.get(cacheKey);
+    const cached = await db.getContent(topic.id);
     if (cached) {
       console.log(`[Learn] Cache hit for topic: ${topic.id}`);
       return cached;
@@ -115,17 +92,12 @@ Provide at least 3 article sections, 4 slides, 3 stats, and 3-5 steps in the inf
     throw new Error('AI could not generate valid learning content. Please try again.');
   }
 
-  storage.set(cacheKey, content);
+  await db.setContent(topic.id, content);
   return content;
 }
 
-/**
- * Refine existing content for a topic using a natural language instruction.
- * Sends current content + refinement prompt to AI, saves new version.
- */
 export async function refineLearningContent(topic, refinementInstruction) {
-  const cacheKey = getContentCacheKey(topic.id);
-  const existing = storage.get(cacheKey);
+  const existing = await db.getContent(topic.id);
 
   const prompt = `You have previously generated the following learning module for the topic "${topic.label}":
 
@@ -146,22 +118,16 @@ Apply the refinement and return the complete updated JSON object using the same
     throw new Error('AI could not process the refinement. Please try a different instruction.');
   }
 
-  storage.set(cacheKey, content);
+  await db.setContent(topic.id, content);
   return content;
 }
 
-/**
- * Delete cached content for a topic, forcing a fresh generation next time.
- */
-export function deleteCachedContent(topicId) {
-  storage.remove(getContentCacheKey(topicId));
+export async function deleteCachedContent(topicId) {
+  return db.deleteContent(topicId);
 }
 
-/**
- * Generate a new custom topic metadata on the fly from user input.
- */
 export async function generateCustomTopic(label) {
-  const prompt = `A user wants to learn about "${label}". 
+  const prompt = `A user wants to learn about "${label}".
 Create a short description (2-3 sentences) and categorize it.
 
 Return ONLY a JSON object with this structure:
@@ -172,7 +138,7 @@ Return ONLY a JSON object with this structure:
 }`;
 
   const responseText = await anthropicApi.generateContent(
-    "You are a knowledge graph AI categorizing topics.", 
+    "You are a knowledge graph AI categorizing topics.",
     prompt
   );
 
@@ -185,9 +151,6 @@ Return ONLY a JSON object with this structure:
     throw new Error('Could not process custom topic. Please try again.');
   }
 
-  // Add to global knowledge base so others can see it too
-  const topics = storage.get('kb:topics', []);
-  storage.set('kb:topics', [...topics, newTopic]);
-
+  await db.upsertTopic(newTopic);
   return newTopic;
 }